validate_config

Validate a model configuration without applying it

Server Llauncher shanevcantwell/llauncher
Category Read
Risk class Low
Parameters 00 required

What validate_config does on Llauncher

AI agents call validate_config to retrieve information from Llauncher without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why validate_config needs a policy

This tool reads and checks configuration data to report whether it is valid, similar to a schema validator or linter. It does not create, modify, delete, or execute anything; it only performs a query-like inspection operation. Therefore it falls under the Read category with low severity, as misuse would only produce informational output rather than unintended state changes or resource consumption.

From the tool's definition Tool description states 'Validate a model configuration without applying it' — it performs validation checking only, with no modification, deletion, or execution of actual inference servers. No side effects beyond returning validation results.

Questions about validate_config

What does the validate_config tool do? +

Validate a model configuration without applying it. It is categorised as a Read tool in the Llauncher MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on validate_config? +

Register the Llauncher MCP server in PolicyLayer and add a rule for validate_config: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Llauncher. Nothing to install.

What risk level is validate_config? +

validate_config is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit validate_config? +

Yes. Add a rate_limit block to the validate_config rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block validate_config completely? +

Set action: deny in the PolicyLayer policy for validate_config. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides validate_config? +

validate_config is provided by the Llauncher MCP server (shanevcantwell/llauncher). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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